Note: This unit version is currently under review and is subject to change!
ELEC2103: Simulation and Numerical Solutions in Engineering (2016 - Semester 2)
|Unit:||ELEC2103: Simulation and Numerical Solutions in Engineering (6 CP)|
|Faculty/School:||School of Electrical & Information Engineering|
Dr Sathiakumar, Swamidoss
|Session options:||Semester 2|
|Versions for this Unit:|
|Site(s) for this Unit:||
|Prohibitions:||COSC1001 OR COSC1901.|
|Brief Handbook Description:||Objectives:
* How to apply the software package Matlab to achieve engineering solutions
* Critical assessment of various computer numerical techniques
* Professional project management, teamwork, ethics
This unit assumes an understanding of the fundamental concepts and building blocks of electrical and electronics circuits. As well as covering the specific topics described in the following paragraphs, it aims to develop skills in professional project management and teamwork and promote an understanding of ethics.
Basic features of Matlab. The Matlab desktop. Interactive use with the command window. Performing arithmetic, using complex numbers and mathematical functions. Writing script and function m-files. Matrix manipulations. Control flow. Two dimensional graphics. Application of Matlab to simple problems from circuit theory, electronics, signals and systems and control. Investigation of the steady state and transient behaviour of LCR circuits.
Matlab based numerical solutions applicable to numerical optimization, ordinary differential equations, and data fitting. Introduction to symbolic mathematics in Matlab. Applications, including the derivation of network functions for simple problems in circuit analysis. Introduction to the use of Simulink for system modelling and simulation.
|Assumed Knowledge:||ELEC1103. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics.|
Dr Chapman, Archie
|T&L Activities:||Independent Study: Prepare next class topic and come with questions in mind; read textbook and make use of other information resources.
Project Work - own time: Carry out research and complete the assignment project and report
Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.
|Attribute Development Method||Attribute Developed|
|Application of specific engineering software such as Matlab, to solve both clearly and non-clearly defined problems.||Design (Level 2)|
|Use of engineering software such as Matlab in the context of circuit theory, control, systems, symbolic algebra and various applied mathematical areas.||Engineering/IT Specialisation (Level 3)|
|Fundamental engineering knowledge applied to problems with Matlab, including second order circuits.||Maths/Science Methods and Tools (Level 2)|
|Use of information resources in assignments and computer laboratory with concomitant critical information assessment for engineering application.||Information Seeking (Level 2)|
|Communicate clearly and effectively using varied formats, as appropriate for computer laboratory team tasks, written reports and assignments.||Communication (Level 2)|
|Understanding of the engineering environment, professional and ethical standards through teamwork in laboratory, case studies in lectures and laboratory, the assignment project and open discussion.
Work on laboratory projects to achieve specified goals with partner(s). Plan and complete assignment project.
|Professional Conduct (Level 1)|
For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.Design (Level 2)
Assignment: Assignment submission
Log Book: Lab performance and Notebook
Final Exam: Final Examination
|Policies & Procedures:||See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.|
Note: Students are expected to have a personal copy of all books listed.
Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
|Library e-Reserve:||Please check the Library e-Reserve site for additional course resources.|
|Online Course Content:||
This course will use piazza as a forum for questions and discussion; see https://piazza.com/sydney.edu.au/semester22016/elec2103/home
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
|Week 1||Lecture: Introduction to Matlab|
|Week 2||Lecture: Programming in Matlab 1|
|Week 3||Lecture: Programming in Matlab 2|
|Week 4||Lecture: Symbolic math/circuits 1|
|Week 5||Lecture: Laplace transform/circuits 2|
|Week 6||Lecture: Lag compensation/Assignment|
|Week 7||Lecture: Statistics/data files|
|Week 8||Lecture: Numerical Methods/Matrices|
|Week 9||Lecture: Differential equations|
|Week 10||Lecture: Signals and linear systems|
|Week 11||Lecture: Lag compensation/revision|
|Week 12||Lecture: Revision|
|Week 13||Lecture: Revision|
|Exam Period||Assessment Due: Final Exam|
The following is a list of courses which have added this Unit to their structure.
This unit contributes to the achievement of the following course goals:
|Design (Level 2)||Yes||28.57%|
|Engineering/IT Specialisation (Level 3)||Yes||27.14%|
|Maths/Science Methods and Tools (Level 2)||Yes||28.57%|
|Information Seeking (Level 2)||Yes||3.57%|
|Communication (Level 2)||Yes||5%|
|Professional Conduct (Level 1)||Yes||3.57%|
|Project and Team Skills (Level 1)||No||3.57%|
These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.